Browse Theses

When attacking a software system is only as difficult as it is to obtain a vulnerability to exploit, the security strength of that system is equivalent to the market price of such a vulnerability. In this dissertation I show how security strength can be measured using market means, how these strength measures can be applied to create models that forecast the security risk facing a system, and how the power of markets can also be unleashed to increase security strength throughout the software development process. In short, I provide the building blocks required for a comprehensive, quantitative approach to increasing security strength and reducing security risk. The importance of quantifying security strength and risk continues to grow as individuals, businesses, and governments become increasingly reliant on software systems. The security of software deployed to date has suffered because these systems are developed and released without any meaningful measures of security, causing consumers to be unable to differentiate stronger software products from weaker ones. Even if we knew that we could make systems measurably stronger, the lack of accurate security risk models has blurred our ability to forecast the value to be gained by strengthening these systems. Without the tools introduced in this dissertation, those of us tasked with making security decisions have been forced to rely on expert opinion, anecdotal evidence, and other unproven heuristics.